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Towards the Generalization of Contrastive Self-Supervised Learning
1 November 2021
Weiran Huang
Mingyang Yi
Xuyang Zhao
Zihao Jiang
SSL
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Papers citing
"Towards the Generalization of Contrastive Self-Supervised Learning"
44 / 44 papers shown
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Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding
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Zhili Liu
Fengwei Zhou
Wei Cao
Weiran Huang
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30 May 2022
Masked Autoencoders Are Scalable Vision Learners
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Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
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Investigating the Role of Negatives in Contrastive Representation Learning
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Surbhi Goel
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Dipendra Kumar Misra
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18 Jun 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Jeff Z. HaoChen
Colin Wei
Adrien Gaidon
Tengyu Ma
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08 Jun 2021
Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning
Zixin Wen
Yuanzhi Li
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MLT
74
136
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31 May 2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
Yuanmeng Yan
Rumei Li
Sirui Wang
Fuzheng Zhang
Wei Wu
Weiran Xu
SSL
127
559
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25 May 2021
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
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Jean Ponce
Yann LeCun
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DML
153
945
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11 May 2021
On Feature Decorrelation in Self-Supervised Learning
Tianyu Hua
Wenxiao Wang
Zihui Xue
Sucheng Ren
Yue Wang
Hang Zhao
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OOD
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02 May 2021
SimCSE: Simple Contrastive Learning of Sentence Embeddings
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Xingcheng Yao
Danqi Chen
AILaw
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280
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18 Apr 2021
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis
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Weiran Huang
Haowei He
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68
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05 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
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Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
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2,366
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Learning Transferable Visual Models From Natural Language Supervision
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Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
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Pamela Mishkin
Jack Clark
Gretchen Krueger
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CLEAR: Contrastive Learning for Sentence Representation
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Sinong Wang
Jiatao Gu
Madian Khabsa
Fei Sun
Hao Ma
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31 Dec 2020
Understanding the Behaviour of Contrastive Loss
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Huaping Liu
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Exploring Simple Siamese Representation Learning
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Kaiming He
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AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries
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Tianlin Li
Wei Hu
Guo-Jun Qi
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Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data
Colin Wei
Kendrick Shen
Yining Chen
Tengyu Ma
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Predicting What You Already Know Helps: Provable Self-Supervised Learning
Jason D. Lee
Qi Lei
Nikunj Saunshi
Jiacheng Zhuo
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89
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03 Aug 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
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M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
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403
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DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations
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Osvald Nitski
Bo Wang
Gary D. Bader
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Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
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Phillip Isola
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164
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What Makes for Good Views for Contrastive Learning?
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Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
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118
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CERT: Contrastive Self-supervised Learning for Language Understanding
Hongchao Fang
Sicheng Wang
Meng Zhou
Jiayuan Ding
P. Xie
ELM
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73
341
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Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
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505
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A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
390
18,897
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13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
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Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
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216
12,136
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13 Nov 2019
On Mutual Information Maximization for Representation Learning
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Josip Djolonga
Paul Kishan Rubenstein
Sylvain Gelly
Mario Lucic
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184
502
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Large Scale Adversarial Representation Learning
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Karen Simonyan
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Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
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182
2,409
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Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
195
1,479
0
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A Theoretical Analysis of Contrastive Unsupervised Representation Learning
Sanjeev Arora
H. Khandeparkar
M. Khodak
Orestis Plevrakis
Nikunj Saunshi
SSL
109
784
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25 Feb 2019
Learning deep representations by mutual information estimation and maximization
R. Devon Hjelm
A. Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
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352
2,672
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Representation Learning with Contrastive Predictive Coding
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354
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Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
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Yuanjun Xiong
Stella X. Yu
Dahua Lin
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Unsupervised Representation Learning by Predicting Image Rotations
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Praveer Singh
N. Komodakis
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267
3,300
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Adversarially Learned Inference
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Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
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Asynchrony begets Momentum, with an Application to Deep Learning
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Stefan Hadjis
Christopher Ré
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Context Encoders: Feature Learning by Inpainting
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Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
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Colorful Image Colorization
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